Swarm intelligence clustering algorithm based on attractor

	Swarm intelligence clustering algorithm based on attractor
	Li, QY ; Shi, ZP ; Shi, J ; Shi, ZZ
	2005
发表期刊	ADVANCES IN NATURAL COMPUTATION, PT 3, PROCEEDINGS
ISSN	0302-9743
卷号	3612 页码:496-504
摘要	Ant colonies behavior and their self-organizing capabilities have been popularly studied, and various swarm intelligence models and clustering algorithms also have been proposed, Unfortunately, the cluster number is often too high and convergence is also slow. We put forward a novel structure-attractor, which actively attracts and guides the ant's behavior, and implement an efficient strategy to adaptively control the clustering behavior. Our experiments show that swarm intelligence clustering algorithm based on attractor (SICABA for short) greatly improves the convergence speed and clustering quality compared with LF and also has many notable virtues such as flexibility, decentralization compared with conventional algorithms.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:000232246700061
出版者	SPRINGER-VERLAG BERLIN
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10151
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Li, QY
作者单位	1.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
推荐引用方式 GB/T 7714	Li, QY,Shi, ZP,Shi, J,et al. Swarm intelligence clustering algorithm based on attractor[J]. ADVANCES IN NATURAL COMPUTATION, PT 3, PROCEEDINGS,2005,3612:496-504.
APA	Li, QY,Shi, ZP,Shi, J,&Shi, ZZ.(2005).Swarm intelligence clustering algorithm based on attractor.ADVANCES IN NATURAL COMPUTATION, PT 3, PROCEEDINGS,3612,496-504.
MLA	Li, QY,et al."Swarm intelligence clustering algorithm based on attractor".ADVANCES IN NATURAL COMPUTATION, PT 3, PROCEEDINGS 3612(2005):496-504.